Study Programmes 2015-2016
ELEN0016-2  
Computer vision
Duration :
30h Th, 10h Pr, 50h Proj.
Number of credits :
Master in biomedical engineering (120 ECTS)5
Master in electrical engineering (120 ECTS)5
Master in electrical engineering (120 ECTS)5
Master in computer science and engineering (120 ECTS)5
Master in computer science and engineering (120 ECTS)5
Master in computer science (120 ECTS)5
Master in computer science (120 ECTS)5
Lecturer :
Marc Van Droogenbroeck
Language(s) of instruction :
English language
Organisation and examination :
Teaching in the first semester, review in January
Units courses prerequisite and corequisite :
Prerequisite or corequisite units are presented within each program
Course contents :
Contents: introduction, unitary transforms, linear filtering and deconvolution, mathematical morphology, non-linear filtering, features extraction and border detection, texture, enhancement and restoration, shape analysis, image segmentation, industrial applications, motion detection, aspects of 3D vision
Learning outcomes of the course :
This course introduces to the major techniques used in image processing. Theoretical and practical aspects of image processing are discussed in details, with a focus on industrial applications.
At the end of the course, students will be able to:
  • master the notion of an image;
  • understand the major image processing techniques;
  • design a complete image processing chain with a practical aim.
Exercise sessions, laboratory sessions and a large homework will help the students in developing more general skills like the capacity to evaluate tools, the conception of complete chain from the specifications to the realization, and team working.
Prerequisite knowledge and skills :
  • The student shall have passed a course on advanced programming.
  • The student shall be familiar with signal processing concepts.
Planned learning activities and teaching methods :
Face-to-face.
Apart from the theoretical course, there are :
  • exercise sessions
  • computer simulations
  • a large project (which is compulsory) consisting in a software implementation of image processing techniques applied to a real situation
Mode of delivery (face-to-face ; distance-learning) :
It includes a lecture on theory and training session per week. The project must be delivered by the end of the first semester.
Recommended or required readings :
Slides of the course are available on the ORBI University site.
Assessment methods and criteria :
Written exam which is compulsory except if the project has been rated with a note larger or equal to 10/20.
Homework (compulsory). This work must imperatively be given during the penultimate week of course of the first semester.
Methods of examination: The exam is composed of theoritical questions and exercises. This is an open-book exam.
Work placement(s) :
Organizational remarks :
Please note that the course is given in english!
Contacts :
Teacher : M. Van Droogenbroeck (04/366 26 93) Secretary : 04/ 366 26 91 Assistant : P. Latour
Items online :
Slides of the course
Please note that, as the course changes during the 2015-2016, the document will be updated regularly.